Fiber-reinforced cementitious composite: Sensitivity analysis and parameters identification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F19%3AN0000013" target="_blank" >RIV/28399269:_____/19:N0000013 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.5185/AMC31" target="_blank" >http://dx.doi.org/10.5185/AMC31</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5185/AMC31" target="_blank" >10.5185/AMC31</a>

Result language

angličtina

Original language name

Fiber-reinforced cementitious composite: Sensitivity analysis and parameters identification

Original language description

Advanced assessment of fracture–mechanical properties is primary important for subsequent numerical simulations of components/structures made fibre-reinforced concrete (FRC). The variability of experimental results using specimens made of quasi-brittle materials such as FRC high due to the heterogeneity of this materials. Then an assessment of fracture–mechanical parameters is much more difficult and problematic. To remain at deterministic level is therefore impossible and without virtual statistical approach, simulation and probabilistic result assessment the consequent practical design of quasi-brittle material-based structures can be risky. A key parameter of nonlinear fracture mechanics modelling is certainly fracture energy of concrete and its variability. The aim of the performed research is to deepen knowledge about the complexity of the behaviour of this advanced and progressive composite material especially in relation to its resistance to crack propagation. The obtained knowledge is a prerequisite for efficient design of this composite and the consequent expansion of its applicability for increase of sustainability of constructed elements, structures and buildings. The research is focused on several topics: First, development of suitable constitutive law for FRC cementitious composites under the framework of nonlinear fracture mechanics software ATENA (Červenka et al. 2002) is of primary importance. The computational model has been verified using data from company DURA technology company, Malaysia. Sensitivity analysis which showed importance of parameters of computational model have been performed. Finally, material parameters identification was performed based on the combination of the efficient statistical simulation (Novák et al. 2014) and training of the artificial neural network (Lehký et al. 2014). The inverse analysis – identification technique – is based on the combination of statistical simulation and training of the neural network. The material model parameters are considered as random variables described by a probability distribution, rectangular distribution is a “natural choice” as the lower and upper limits represent the bounded range of physical existence. The variables are then simulated randomly based on the Monte Carlo type simulation, the small-sample simulation LHS is utilized. Multiple calculation of the deterministic computational model using random realizations of material model parameters is performed and a statistical set of the virtual structural response is obtained. Random realizations and the corresponding responses from the computational model serve as the basis for the training of an appropriate neural network (Novák & Lehký, 2006). After the training the neural network is ready to solve the opposite task: To select the best material parameters in order the numerical simulation will result in the best agreement with experiment. This is performed by means of the simulation of network using measured response as an input. It results in a set of identified material model parameters. The last step is results verification – calculation of the computational model the using identified parameters. The proposed methodology and software is based on experimental and computational methods falling within the field of fracture mechanics, soft computing and reliability theory.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20102 - Construction engineering, Municipal and structural engineering

Project

<a href="/en/project/FV30244" target="_blank" >FV30244: IdeMaS - Identification of high performance cementitious composites coefficients</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

PROCEEDINGS & ABSTRACTS BOOK American Advanced Materials Congress

ISBN

978-91-88252-23-4

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

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Publisher name

VBRI Press

Place of publication

Sweden

Event location

Orlando

Event date

Dec 8, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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